Detection of Temporal Clusters of Healthcare-Associated Infections or Colonizations with Pseudomonas aeruginosa in Two Hospitals: Comparison of SaTScan and WHONET Software Packages.
Detection of Temporal Clusters of Healthcare-Associated Infections or Colonizations with Pseudomonas aeruginosa in Two Hospitals: Comparison of SaTScan and WHONET Software Packages.
复制标题
在两家医院中检测与铜绿假单胞菌相关感染或定植的时间簇：Satscan和Whonet软件包的比较。
DOI：
10.1371/journal.pone.0139920
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Aho-Glélé LS
中科院分区：
文献类型：
--
作者：
Lefebvre A;Bertrand X;Vanhems P;Lucet JC;Chavanet P;Astruc K;Thouverez M;Quantin C;Aho-Glélé LS
识别卫生保健相关的殖民化或感染的时间集群是感染控制的一个挑战。WHONET软件可以利用医院的实验室数据库实现这些目标，但在检测性能方面从未与SaTScan进行过比较。本研究为评价WHONET软件与SaTScan软件的性能提供了机会，作为铜绿假单胞菌检测集群的参考。回顾性研究在法国两所大学医院进行。对2005年1月1日至2014年4月30日在第一所医院发生的铜绿假单胞菌定植或感染病例进行了整体分析，并按病房/护理单位进行了分析。采用泊松时间和时空排列模型。对第二家医院2007年7月1日至2013年12月31日的数据进行重复分析，以在另一环境中验证WHONET软件（与SaTScan相比）。在研究期间，从第一医院2996例患者中分离出3946株铜绿假单胞菌。发病率为89.8 / 10万患者日（95% CI[87.0; 92.6]）。在整体和单位水平上观察到几个集群，其中一些是无论使用哪种方法都检测到的。世卫网络的结果与考虑了两家医院的病人日数和时间趋势的分析一致。由于WHONET软件比SaTScan更灵活，更易于使用，因此它似乎是对医院数据进行前瞻性监测的有用工具，尽管它没有考虑到高危人群。
The identification of temporal clusters of healthcare-associated colonizations or infections is a challenge in infection control. WHONET software is available to achieve these objectives using laboratory databases of hospitals but it has never been compared with SaTScan regarding its detection performance. This study provided the opportunity to evaluate the performance of WHONET software in comparison with SaTScan software as a reference to detect clusters of Pseudomonas aeruginosa. A retrospective study was conducted in two French university hospitals. Cases of P. aeruginosa colonizations or infections occurring between 1st January 2005 and 30th April 2014 in the first hospital were analyzed overall and by medical ward/care unit. Poisson temporal and space-time permutation models were used. Analyses were repeated for the second hospital on data from 1st July 2007 to 31st December 2013 to validate WHONET software (in comparison with SaTScan) in another setting. During the study period, 3,946 isolates of P. aeruginosa were recovered from 2,996 patients in the first hospital. The incidence rate was 89.8 per 100,000 patient-days (95% CI [87.0; 92.6]). Several clusters were observed overall and at the unit level and some of these were detected whatever the method used. WHONET results were consistent with the analyses that took patient-days and temporal trends into account in both hospitals. Because it is more flexible and easier to use than SaTScan, WHONET software seems to be a useful tool for the prospective surveillance of hospital data although it does not take populations at risk into account.